1) Latent Growth Curve Model
潜变量增长曲线模型
1.
In this article, these advances are reviewed briefly and overlapping Hierarchical Linear Model(HLM) and Latent Growth Curve Model(LGM) are mainly discussed.
文章对此方法进行了简要的回顾，并重点阐述了最近发展起来的纵向研究的方法：多层线性模型和潜变量增长曲线模型，并在此基础上对几种常用的方法进行了比较。
3) second-order-factor latent growth modeling
二阶潜变量增长模型
1.
The development trajectory of work adaptability of new employees in enterprises at the initial 6 months and its affecting factors are examined in this study through the longitudinal research with second-order-factor latent growth modeling(SOF-LGM) which is fit for analyzing developing status and affecting factors of latent variables in longitudinal researches.
采用二阶潜变量增长模型(SOF-LGM)考察了企业新雇员进入组织6个月左右的工作适应发展轨迹及影响因素。
4) extension of the Growth Curve Model with covariate variables
有协变量的推广增长曲线模型
1.
Estimation of unknown regression coefficient matrices in the extension of the Growth Curve Model with covariate variables;
有协变量的推广增长曲线模型回归参数的估计
5) growth curve model
增长曲线模型
1.
The combining generalized ridge and principal components estimator of regression coefficient in growth curve model;
增长曲线模型中回归系数的广义岭型主成分估计
2.
The Superiority of Mixed Estimation of Regression Parameter in Growth Curve Model Under Pitman Closeness Criterion;
增长曲线模型中回归系数阵混合估计的Pitman优良性
3.
The best linear unbiased estimate of regression coefficient matrix in the growth curve model with random effects;
含有随机效应的增长曲线模型回归系数阵的BLUE
6) Logarithmic reciprocal model
S型增长曲线模型
补充资料：逻辑斯蒂方程(见种群增长模型)
逻辑斯蒂方程(见种群增长模型)
逻辑斯蒂方程见种群增长模型
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条